Publication Search

Tingkat kefokusan merupakan faktor penting dalam produktivitas yang dipengaruhi oleh berbagai variabel seperti durasi tidur, konsumsi kafein, dan kondisi lingkungan kerja. Decision Tree Regressor memiliki potensi untuk memprediksi tingkat kefokusan, namun performanya sangat bergantung pada konfigurasi hyperparameter yang optimal. Penelitian ini bertujuan untuk membandingkan efektivitas algoritma Harmony Search (HS) dan Gravitational Search Algorithm (GSA) dalam mengoptimalkan hyperparameter Decision Tree Regressor untuk prediksi tingkat kefokusan. Metode penelitian menggunakan Machine Learning Life-Cycle dengan dataset FocusSense yang terdiri dari 10.000 sampel dari platform Kaggle. Proses optimasi dilakukan terhadap empat hyperparameter yaitu max_depth, min_samples_split, min_samples_leaf, dan max_leaf_nodes. Model dievaluasi menggunakan tujuh metrik evaluasi meliputi MSE, MAE, R², MAPE, Max Error, MSLE, dan EVS. Hasil penelitian menunjukkan bahwa model Decision Tree Regressor yang dioptimasi dengan Harmony Search menghasilkan performa terbaik dengan nilai MSE sebesar 14,626492 (penurunan 28,00% dari baseline), R² sebesar 0,873901 (peningkatan 5,94% dari baseline), dan MSLE sebesar 0,006663 (penurunan 26,13% dari baseline). Sementara itu, model yang dioptimasi dengan GSA menghasilkan MSE sebesar 16,134090 dan R² sebesar 0,860903, yang masih lebih baik dari baseline namun di bawah performa HS. Kesimpulan penelitian ini membuktikan bahwa algoritma Harmony Search lebih efektif dibandingkan Gravitational Search Algorithm dalam mengoptimalkan hyperparameter Decision Tree Regressor untuk prediksi tingkat kefokusan, dengan peningkatan akurasi prediksi yang signifikan pada data kontinyu.

This study develops a computational-based system to identify individual potential through the analysis of signature patterns using Artificial Neural Networks (ANN) and the Backpropagation algorithm. The research aims to explore and examine the effectiveness of applying ANN in recognizing and identifying signature patterns that are assumed to be related to an individual’s potential. In the data processing stage, Principal Component Analysis (PCA) is employed as a dimensionality reduction and feature extraction technique to optimally obtain the main characteristics of signature images. The system performance evaluation is conducted using a total of 80 signature images, consisting of 60 training data and 20 testing data. This study analyzes two network architecture configurations, namely a model with one hidden layer and a model with two hidden layers. The experimental results show that both network configurations achieve the same accuracy level of 92.5%. These findings indicate that the use of Artificial Neural Networks with the Backpropagation algorithm is effective in producing high accuracy in the signature pattern recognition process. Furthermore, the developed system has broad potential applications in the field of personal identification, such as employee evaluation, selection systems, and other applications across various organizational and industrial sectors.

Teaching fiction in Indonesian language classrooms is often constrained by text-centered instruction and limited use of engaging digital media. In the era of Generation Z learners who are visually and digitally oriented, innovative learning materials are needed to enhance motivation, interpretation, and comprehension of literary texts. This study aims to develop and evaluate a Scribus-based digital magazine for fiction learning by integrating the ADDIE model within a qualitative descriptive framework. The research adopted a qualitative descriptive design comprising five stages of the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. The study was conducted at SMP Negeri 10 Semarang, involving one Indonesian language teacher and fifteen Grade VIII students, who were selected through purposive sampling. Data were collected through observation, interviews, and documentation, and analyzed using the Miles and Huberman model (data reduction, data display, conclusion drawing). Media and content experts conducted validation to assess the feasibility, usability, and pedagogical quality of the content. Findings revealed that the Scribus-based learning media effectively increased students’ engagement and comprehension in analyzing fictional elements such as plot, character, and setting. Expert validation results indicated a high feasibility level, with mean scores above 85% in design and content quality. Teachers reported improved classroom interaction and creativity, while students expressed enthusiasm for the visual and interactive format. The study concludes that open-source tools, such as Scribus, can provide cost-effective and pedagogically sound alternatives for developing literary learning media. The integration of ADDIE and multimodal design promotes contextual, engaging, and sustainable learning experiences. Future research should explore multimedia enhancements, such as audio storytelling and cross-curricular applications, to broaden the pedagogical impact.

This study aims to determine the effectiveness of the Problem Based Learning (PBL) model integrated with Canva in improving students’ reflective thinking skills in the Aqidah Akhlaq subject at MTsN 3 Tuban. Reflective thinking is an essential competency that enables students to analyze moral behavior, evaluate decision-making processes, and connect Islamic ethical concepts with real-life experiences. However, preliminary observations indicated that students’ reflective thinking skills were still low and tended to remain at the level of theoretical understanding without deeper analysis. This research employed a pre-experimental design using a one-group pretest–posttest model. The subjects consisted of 30 eighth-grade students. The research instrument was a reflective thinking test developed based on indicators of moral evaluation, situation analysis, and experiential reflection, which had been validated through expert judgment. The learning process was conducted by applying the stages of Problem Based Learning integrated with Canva as a visual media to organize problem-solving steps and present students’ reflective outputs. Data were analyzed using descriptive statistics and a paired samples t-test. The findings showed a significant improvement in students’ reflective thinking skills after participating in PBL learning supported by Canva. Pretest scores ranged from 48 to 71 with an average of 59.67, while posttest scores increased to a range of 60 to 89 with an average of 71.20. The mean gain of 11.53 points was statistically significant as indicated by the t-test results (t = 10.39; sig. = 0.000), further supported by Cohen’s d value of 1.90, which falls into the category of a very large effect size. Qualitatively, students demonstrated enhanced abilities in identifying core problems, analyzing alternative actions, evaluating their cognitive processes, and visualizing moral reflections systematically through Canva. In conclusion, the PBL model integrated with Canva is effective in improving students’ reflective thinking skills in the Aqidah Akhlaq subject. This model not only enhances academic outcomes but also strengthens character development, creativity, and higher-order thinking skills, which are essential for 21st-century learning.

The majority of Kebomas District's residents are connected to working hours during government office hours (Monday through Friday), which creates access obstacles in administering public services due to the high population density and busy community life. In response to these time constraints, the SOS MAS (Service On Saturday in Kebomas District) invention was introduced, which offers services on Saturdays. However, the implementation of this innovation still faces challenges in the form of a low social integration rate and a restricted range of public services that have the potential to sway public opinion. The goal of this research is to assess how the SOS MAS innovation affects community happiness in Kebomas District. A quantitative technique with an associative approach is used in this research. Through an unintentional sampling method, questionnaires were given to 86 individuals in order to gather primary data. With the aid of SPSS, the determinant coefficient and a simple linear regression test were used to analyze the data. The study's findings reveal that the SOS MAS invention has a favorable and substantial influence on community happiness. The regression coefficient of 0.969 and a significance level of 0.000 <0.05 support this. The innovation variable accounted for 59.7% of public happiness, while the remaining 40.3% was impacted by variables not included in the study model, according to the coefficient of determination (R2) test. This result supports the notion that the efficacy of service innovation outside of working hours is a major element in boosting happiness for individuals with limited time. The SOS MAS innovation has been shown to greatly improve public satisfaction. Agencies are encouraged to improve their communication and outreach efforts as well as create SOS MAS innovations that maximize the advantages of innovations that meet community needs.

General practitioners play a crucial role in the delivery of healthcare services in public hospitals, where limited organizational resources and high service demands often place significant pressure on medical personnel. These conditions may disturb work–life balance, increase the risk of burnout syndrome, and ultimately lead to higher turnover intention. This study aimed to analyze the effect of work–life balance on turnover intention, with burnout syndrome acting as an intervening variable among general practitioners at RSUD Balaraja. An observational analytic design with a cross-sectional approach was applied, involving all 40 general practitioners working in the emergency department and inpatient units through a total sampling technique. Data were collected using standardized instruments, namely the Work–Life Balance Scale, Maslach Burnout Inventory, and the Intention to Quit Questionnaire. Data analysis was conducted using Spearman correlation and Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results revealed a significant relationship between work–life balance and burnout syndrome, as well as between work–life balance and turnover intention. Burnout syndrome was also significantly associated with turnover intention. Further analysis showed that work–life balance had both direct and indirect effects on turnover intention, with burnout syndrome partially mediating this relationship. In conclusion, work–life balance and burnout syndrome are important determinants of turnover intention among general practitioners. Therefore, hospital management should prioritize strategies such as workload regulation, enhanced organizational support, and burnout prevention to retain medical staff and maintain the quality of healthcare services in public hospitals.

This study aims to examine the effect of Corporate Social Responsibility (CSR) costs and financial characteristics on tax avoidance practices among publicly listed companies with the largest market capitalization in Indonesia. The study is motivated by Indonesia’s relatively low tax ratio compared to other emerging economies in the ASEAN region, which suggests the persistence of tax avoidance practices, particularly among large corporations. Grounded in legitimacy theory and agency theory, this research empirically investigates the influence of CSR costs, profitability, leverage, liquidity, activity ratio, growth ratio, and operating cash flow on tax avoidance. The research sample consists of 50 companies with the largest market capitalization listed on the Indonesia Stock Exchange over the 2020–2024 period, employing a census sampling method and unbalanced panel data. Secondary data were obtained from annual financial reports and analyzed using panel data regression techniques. Tax avoidance is measured using the Book-Tax Differences (BTD) approach, while model selection is determined through the Chow test, Hausman test, and Lagrange Multiplier test. The results indicate that, simultaneously, all independent variables have a significant effect on tax avoidance. Partially, the activity ratio has a negative effect on tax avoidance, whereas the growth ratio and operating cash flow have a positive effect on tax avoidance. Meanwhile, CSR costs, profitability, leverage, and liquidity do not show a significant effect. These findings suggest that asset utilization efficiency tends to restrain tax avoidance behavior, while corporate growth dynamics and strong operating cash flows encourage more aggressive tax management strategies. This study provides empirical evidence from an emerging market context and offers insights for tax authorities and regulators in designing more effective, risk-based tax supervision policies.

Differences in students’ levels of learning interest are often associated with their understanding of religious values, one of which is the understanding of hadiths concerning the virtues of knowledge. Hadiths emphasizing the virtues of knowledge are believed to stimulate interest in the learning process. This study aims to examine the influence of students’ understanding of hadiths on the virtues of knowledge on their learning interest at STDI Imam Syafi’i Jember. This research employed a quantitative approach with a correlational design. A total of 130 students were selected as respondents using simple random sampling. The research instruments were tested for validity and reliability, yielding Cronbach’s alpha values of 0.838 for the variable of understanding the hadiths on the virtues of knowledge and 0.884 for the learning interest variable. The normality test using Shapiro–Wilk produced a value of 0.097, indicating that the data were normally distributed, while the heteroscedasticity test showed a significance value of 0.968, confirming that the regression model was appropriate for use. The regression analysis revealed a significance value of p = 0.001 and a coefficient of determination (R²) of 0.362. This indicates that understanding the hadiths on the virtues of knowledge has a positive influence of 36.2% on students’ learning interest, while the remaining 63.8% is influenced by other factors. These findings affirm that understanding the values contained in hadiths on the virtues of knowledge plays an important role in enhancing students’ learning interest.

This study aims to analyze the role of internet technology in enhancing the competitiveness of ebusiness in Indonesia, particularly in the sector of small and medium enterprises (SMEs). Based on theoretical reviews, internet technology, e-business, technology adoption (TAM), and the concept of competitiveness serve as the main foundations for understanding the ongoing digital transformation. The research employed a descriptive qualitative method with a purposive sampling technique, involving five informants consisting of digital SME owners, online store managers, and users of service platforms. Data were collected through interviews and observations, then analyzed using the Miles and Huberman model through the stages of data reduction, data presentation, and conclusion drawing. The findings reveal that the internet plays a crucial role as an essential infrastructure that enhances marketing effectiveness, expands market reach, and improves operational efficiency. Marketplaces, social media, and delivery-service platforms contribute significantly to sales growth and service quality. However, challenges such as low digital literacy, platform commission fees, changes in social media algorithms, and uneven infrastructure development still limit optimal utilization. From a policy perspective, the study recommends strengthening digital infrastructure and improving national digital literacy. This research emphasizes that the success of e-business depends on technology access, human resource competence, and support through public policy. It can be concluded that internet technology serves as a vital foundation for e-business competitiveness in the digital era.

The work of health workers is a key factor in ensuring the quality and sustainability of primary health services. However, high work demands and limited resources have the potential to weaken work involvement if they are not balanced with a perception of work meaning and adequate psychological capacity. This study aims to analyze the effect of job meaningfulness on work engagement of health workers through psychological capital as a mediating variable at the Mokoau Health Center, Kendari City, Southeast Sulawesi. This study used a quantitative approach with a cross-sectional design. All health workers at the Mokoau Health Center as many as 70 people were used as research samples using the total sampling method. Data was collected through a structured questionnaire and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with the help of SmartPLS version 4.0. The results of the analysis showed that job meaningfulness had a positive and significant effect on psychological capital (β = 0.698; p < 0.05). Psychological capital was also shown to have a positive and significant effect on work engagement (β = 0.691; p < 0.05). Furthermore, job meaningfulness had a significant indirect effect on work engagement through psychological capital (β = 0.482; p < 0.05), which shows the mediating role of psychological capital in the relationship. Job meaningfulness not only contributes directly to strengthening psychological capital, but also indirectly increases work engagement of health workers. Psychological capital plays a role as the main psychological mechanism that translates the meaning of work into higher work attachment. These findings affirm the importance of a human resource management strategy that focuses on strengthening the meaning of work and psychological capital to increase the work involvement of health workers in primary health care facilities.

Pasar sepeda motor bekas di Indonesia menunjukkan tren penting sebagai moda transportasi yang layak. Namun demikian, penilaian harga pasar yang adil sering ditandai oleh subjektivitas dan menimbulkan tantangan besar bagi penjual dan pembeli dalam mencapai estimasi yang akurat. Penelitian ini berusaha untuk mengembangkan model prediktif untuk harga sepeda motor bekas menggunakan algoritma K-Nearest Neighbor (KNN), berdasarkan data historis. Dataset yang digunakan terdiri dari 199 catatan dengan atribut yang mencakup model, tahun, transmisi, pembacaan odometer, jenis kendaraan, perpajakan, efisiensi bahan bakar, dan kapasitas mesin. Metodologi penelitian mencakup sanitasi data (mengatasi nilai yang hilang melalui imputasi median), pra-pemrosesan (menggabungkan One-Hot Encoding dan Min-Max Scaling), di samping konstruksi model dengan pengaturan parameter k = 3. Temuan mengungkapkan bahwa model KNN menghasilkan nilai R-kuadrat (R2) 0,9255, Kesalahan Absolute Rata-rata (MAE) 816,55, dan Root Mean Squared Error (RMSE) 1.027,20. Temuan ini menunjukkan bahwa model ini mahir dalam menghitung 92,55% dari varians dalam harga, menjadikannya instrumen yang dapat diandalkan untuk dukungan keputusan di bidang penilaian sepeda motor bekas.

This study aims to analyze the simultaneous effect of implementing Canva, an interactive visual media, in Science (Ilmu Pengetahuan Alam/IPA) and the application of the Deep Learning approach (in-depth and contextual learning) in English on improving students' learning motivation at SMP Negeri 3 Galesong Selatan. Learning motivation is measured as a dependent variable crucial for academic success in the digital era. This research uses a Mixed Methods design with an embedded quasi-experimental model, supported by descriptive qualitative data through in-depth observations and interviews. The research sample consists of seventh-grade students who were the subjects of the Canva intervention in Science, and eighth-grade students who were the subjects of the Deep Learning intervention in English, each compared with a control group. The results of the paired t-test hypothesis test showed a significant and positive increase in students' learning motivation in both intervention groups. Qualitatively, Canva proved effective in visualizing complex Science concepts, facilitating understanding and creativity. Meanwhile, Deep Learning successfully contextualized English through authentic projects, enhancing material relevance and student independence. The main conclusion of this study is that the combination of visual technology innovation and the adoption of pedagogy focused on in-depth understanding is a transformative strategy for fostering strong intrinsic learning motivation at the junior high school level.

The growth of the digital economy has accelerated the development of online shops as part of digital MSMEs; however, this growth has not been fully supported by systematic financial management practices. This study aims to analyze financial management strategies applied by online shops in Parepare City based on four main indicators: financial planning, recording, reporting, and control. This research employed a qualitative approach within a postpositivist paradigm. Data were collected through participatory observation, semi-structured interviews, and documentation from five online shops selected using purposive sampling. Data analysis followed an interactive model consisting of data reduction, data display, and conclusion drawing, while data credibility was ensured through source and method triangulation. The findings reveal that financial management practices have been implemented by all research objects but remain at a basic level. Financial planning is primarily short-term and experience-based, financial recording is predominantly manual, financial reporting does not yet include formal profit and loss analysis, and financial control lacks measurable quantitative indicators. These results indicate that the main challenge in online shop financial management lies not in the absence of financial practices, but in the quality of implementation and the use of financial data for strategic decision-making. This study is expected to contribute empirically to the literature on digital MSME financial management and provide practical guidance for online shop owners to improve sustainable financial management practices.

The advancement of digital technology has triggered a transformation in the teaching and learning process, including in the teaching of Economics at the senior high school level. Social media, which initially served merely as a communication tool, is now utilized as an interactive and easily accessible alternative learning resource. This study aims to describe how social media is used in the Economics learning process at SMA Panca Marga Lamongan and to identify its benefits and challenges. The research employed a qualitative descriptive method with purposive sampling, involving one Economics teacher and eleventh-grade social science students. Data were collected through interviews, observations, and documentation, then processed and examined using the Miles, Huberman, and Saldaña analysis model. The findings show that social media platforms such as YouTube, Instagram, and TikTok enhance students’ understanding of economic concepts in a more contextual and visual manner, as well as foster learning independence and participation. However, challenges include difficulties in filtering credible information and the potential for distraction when usage is not well-controlled. Thus, social media can serve as an effective learning resource when supported by strong digital literacy, clear teacher guidance, and proper management of its use.

The development of the digital era has brought significant changes to the world of education, including Islamic education, thus requiring educational institutions to adapt their policies and governance in a more modern way without neglecting Islamic values. SMA Al Hijrah Global School, as a globally oriented Islamic school, faces challenges in integrating the use of technology with the principles of Islamic education, both in learning, administration, and character development of students. This study aims to analyze how Islamic education policies are managed in the digital era and to identify the main challenges that arise in digital governance at the school.This research uses a descriptive qualitative approach with a case study design, involving the principal, teachers, administrative staff, and students as informants selected through purposive sampling. Data were collected through interviews, observations, and documentation, and then analyzed using the Miles and Huberman model. The findings show that the school has utilized technology in learning and management; however, it still faces constraints in the form of limited digital competence among teachers, suboptimal infrastructure, and challenges in supervising students’ digital ethics. The implications of this study indicate the need to strengthen Islamic education policies that are more adaptive to digital developments through improving digital literacy, providing adequate infrastructure, and reinforcing digital ethics based on Islamic values so that educational governance can run effectively and in line with the demands of the digital era.

This study is motivated by the low ability of seventh-grade students to understand and write procedural texts, particularly in terms of linguistic features and the logical sequencing of steps. These conditions indicate the need for a learning model that actively engages students and enhances their analytical thinking skills. This research aims to examine the effect of the Problem Based Learning model on students’ ability to analyze and write procedural texts at SMP Negeri 1 Warungkondang. The study employed a quantitative approach using a quasi-experimental design with a pretest–posttest control group. The research population consisted of all seventh-grade students, with a sample of 32 students divided into an experimental class and a control class. Data were collected through comprehension tests, procedural text writing assessments, and classroom observations of student learning activities. Statistical analysis was conducted to identify differences and improvements in students’ abilities following the implementation of the learning model. The findings reveal that students’ understanding of procedural text structure was at a moderate level, with the highest achievement in identifying text goals and the lowest in mastering linguistic features. Students’ writing ability was predominantly categorized as moderate, indicating that while they understood the basic structure of procedural texts, they encountered difficulties in organizing steps logically and in detail. Furthermore, the use of audiovisual media within problem-based learning significantly increased student engagement and learning enthusiasm, although oral communication skills remained limited. These results suggest that Problem Based Learning is effective in improving procedural text learning outcomes; however, it should be supported by focused linguistic guidance and staged writing practice to optimize students’ overall writing performance.  

This study aims to analyze the influence of leadership style, work environment, and workload on employee performance at PT BFI Finance Indonesia Tbk, Semarang Branch, using the Job Demands–Resources (JD-R) Theory as its underlying framework. The JD-R model posits that employee performance and well-being depend on the balance between job demands and job resources. The research employed a quantitative explanatory approach involving 56 employees from the Central Operation division, selected through purposive sampling. Data were collected using a Likert-scale questionnaire and analyzed using multiple linear regression with SPSS version 21. The results reveal that leadership style and work environment have positive and significant effects on employee performance, while workload has a significant negative effect. The coefficient of determination (R²) of 0.673 indicates that the three variables collectively explain 67.3% of employee performance variation. Respondents perceived that communication and support from leaders were strong, and social relations in the workplace were positive, although workload and performance targets were considered relatively high. These findings reinforce the JD-R Theory (Bakker & Demerouti, 2017), showing that leadership and work environment function as job resources that enhance motivation and performance, whereas excessive workload represents job demands that may hinder employee outcomes if not properly managed. Practically, organizations in the financial services sector should maintain a balance between job demands and job resources to achieve sustainable employee performance improvement.

This study, titled “analysis of the influence of brand image and online promotion on generation z’s decision to purchase bsi product at bsi merr surabaya”, examines the effect of brand image (X1) and online promotion (X2) on the purchasing decisions (Y) of Generation Z consumers at the BSI Merr Surabaya branch. Using a quantitative research approach, data were collected from 100 respondents aged 20–27 years through purposive sampling. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the assistance of WarpPLS 7.0 software. The results indicate that both brand image (X1) and online promotion (X2) have a significant and positive influence on Generation Z’s decision to purchase BSI products. Among the two variables, online promotion (X2) shows a stronger impact, highlighting its importance in engaging digitally savvy consumers. These findings emphasize the need for companies to strengthen digital marketing strategies while maintaining a solid brand image to effectively influence purchasing behavior. The study underscores the strategic relevance of optimizing both factors to enhance consumer engagement and drive purchase decisions among Generation Z.

This study aims to analyze the effect of product innovation, brand image, after-sales service, experiential marketing, and product quality on purchase intention and its impact on purchasing decisions of Toyota Avanza consumers in Semarang City. The research was conducted using a quantitative approach with primary data collected through questionnaires distributed to 120 respondents selected by purposive sampling. Data analysis employed the Structural Equation Modeling (SEM) technique using AMOS 18 software. The results indicate that all five independent variables—product innovation, brand image, after- sales service, experiential marketing, and product quality—have a positive and significant effect on purchase intention. Furthermore, purchase intention significantly affects purchasing decisions. Among the tested variables, product quality and product innovation were found to have the greatest influence on purchase intention, followed by brand image, experiential marketing, and after-sales service. These findings suggest that Toyota’s success in maintaining consumer interest and purchasing decisions largely depends on its ability to provide superior product quality, continuous innovation, and memorable customer experiences. The study contributes to marketing management literature by highlighting the integrated role of innovation and experiential marketing in shaping consumer behavior in the automotive sector.

Dropshipping is essentially a buying and selling process between a seller and a buyer using the internet. Dropshipping is a product sale that allows dropshippers to sell goods to customers using photos from suppliers or stores and then sell them to customers at a price determined by the dropshipper. The questions to be answered through this research are: a) How does the buying and selling process work using a dropship system? b) How does the buying and selling process work using a dropship system from a sharia economic perspective. The method used in this research includes descriptive research with a qualitative approach. The data used are primary and secondary data obtained from verses of the Qur'an and the Hadith, books and journals, articles, and mass media, both print and electronic, related to the focus of the problem being studied in this research. The data analysis technique used in this research is the Miles and Huberman analysis model, using data reduction, data presentation, and drawing conclusions. The results of the study indicate that the Samsarah contract is a solution to dropship transactions. The original law is permissible or permissible if carried out in accordance with Islamic provisions.